A feature-based approach to visual/IR sensor image registration
is presented. This new method overcomes the difficulties caused by
the discrepancy in data’s gray-scale characteristics and the problem of
feature inconsistency. It employs a wavelet-based feature extractor to
locate point features from contours based on local statistics of the image
intensity. Matching is carried out at multiresolution levels based on point
features. A consistency-checking step is involved to eliminate mismatches.
The algorithm is accurate, robust, and fast. It is capable of
handling images with considerable translation, scaling, and rotation. Details
on the registration algorithm including feature extraction, matching,
consistency checking, and the image transformation model are discussed.
Experimental results using real visual/IR sensor data are